RUNJIAN (M) SDN. BHD.
Test Engineer (QA & AI Evaluation)
Skills
3 months ago
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Important information
Contract type:
Permanent
Location:
Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
Work mode:
Onsite
Published on:
10 August 2026
What they need
ROLE OVERVIEW
The ASEAN AI Innovation Centre is the overseas R&D hub of our AI Business Group, localizing mature AI products from China and building new AI products for Malaysia and broader ASEAN markets, with a focus on energy and education.
We are hiring a Test Engineer with a dual mandate. First, classic product QA: making sure our AI+Energy and AI+Education products work correctly for real enterprise users. Second — and this is what makes the role unusual — AI evaluation: our team uses AI coding agents daily, and our products themselves contain LLM-driven features. Both need systematic quality gates, and you will own them.
You will be the quality counterpart to an AI-first engineering team: designing the checks that AI-generated code must pass before it ships, and the evaluation sets that tell us whether an AI product feature actually behaves reliably. This is a hands-on role with a direct line to how the whole team works, not a downstream checkbox. This is a hands-on individual-contributor role — you design, build, and run the tests and evaluations yourself.
KEY RESPONSIBILITIES
Product QA: Own test strategy and execution for the Centre’s products: functional, regression, integration, and acceptance testing across web UI, APIs, and data pipelines.
Test Automation: Build and maintain automated test suites integrated into CI/CD, so that both human-written and AI-generated code is verified continuously.
AI Evaluation: Design and run quality gates for AI-generated code together with the architecture track. Build evaluation sets for LLM-driven product features: accuracy, consistency, regression across prompt and model changes, and human review checkpoints for critical paths.
Data & Environments: Manage test data and staging environments, including realistic energy-domain data sets; triage bugs and verify fixes.
Localization QA: Walk through English UI copy and localized flows for Malaysian and ASEAN users; verify localization quality with the Product UI Engineer.
Field Feedback Loop: Work with delivery engineers to reproduce and regression-test issues found at customer sites.
WHAT YOU MUST BRING
3+ years of software testing / QA experience with real products.
Hands-on test automation experience (e.g., Playwright, Cypress, Selenium, pytest, or similar) and API testing skills.
Basic scripting ability (Python, TypeScript, or similar) — enough to build tooling, not production features.
Curiosity about AI systems: willingness to learn how LLMs fail and how to measure their behavior. Prior AI/LLM evaluation experience is a plus, not a prerequisite.
Attention to detail, structured thinking, and clear communication skills in English.
WHAT YOU CAN LEARN HERE
AI evaluation methodology: evaluation set design, LLM behavior testing, and quality gates for AI-generated code — one of the most in-demand emerging QA skills.
Modern automation practices in an AI-first CI/CD pipeline.
Energy and education domain knowledge across Southeast Asian markets.
LANGUAGE
Proficiency in English is essential. Proficiency in (Mandarin) is strongly preferred. Malay is a plus for on-site work and local coordination.
"We are looking for Mandarin-speaking candidates who will be serving Mandarin-speaking customers."
WHY JOIN US
Founding team opportunity: join a brand-new AI R&D centre in its first year and shape how it builds software.
AI-first team culture: every team member uses AI tools daily; you will work alongside AI coding agents, not just other engineers.
Work with frontier AI models on real industry problems in energy and education across Southeast Asia.
3-year strategic incubation: no short-term revenue pressure. Focus on building the right products and the right skills.
TEAM CONTEXT
In Year 1 the Centre is a compact full-time team of 15. You will report to the two Senior Software Engineers (platform and integration tracks) and work daily with the AI-Native Product Manager, the Product UI Engineer, the delivery team, and AI coding agents. Engineering interns will work alongside you on evaluation and internal tooling.
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